TW477151B - Method and apparatus for recovery of encoded data using central value - Google Patents
Method and apparatus for recovery of encoded data using central value Download PDFInfo
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- TW477151B TW477151B TW089112537A TW89112537A TW477151B TW 477151 B TW477151 B TW 477151B TW 089112537 A TW089112537 A TW 089112537A TW 89112537 A TW89112537 A TW 89112537A TW 477151 B TW477151 B TW 477151B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/85—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression
- H04N19/89—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression involving methods or arrangements for detection of transmission errors at the decoder
- H04N19/895—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression involving methods or arrangements for detection of transmission errors at the decoder in combination with error concealment
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/90—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using coding techniques not provided for in groups H04N19/10-H04N19/85, e.g. fractals
- H04N19/98—Adaptive-dynamic-range coding [ADRC]
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Description
477151 A7 B7_ 五、發明說明(1 ) 發明背景 1 .發明領域 本發明係關於資料之編碼處理,以提供由於信號傳輸 或訊號儲存所造成之資料損失之堅固錯誤復原。 2 .發明背景 現今已經有若干技術存在,以重建由信號傳輸或儲存 時所發生之隨機錯誤的損失/破壞資料。然而,這些技術 並不能處理連續分封資料的損失。連續損失之分封資料於 此技藝中係被描述爲叢發錯誤。叢發錯誤可能造成具有劣 化品質之重建信號,該劣化品質對於末端使用者係明顯的 〇 另外,用以完成高速通訊之壓縮技術組合由叢發錯誤 造成之信號劣化,因而,加入至重建信號之劣化。影響傳 送及/或儲存信號之叢發錯誤損失的例子可以由高解析度 電視(H D T V )信號,行動電信應用,及視訊儲存技術 中看到,該等視訊儲存技術包含影碟(如D V D ),微碟 片及錄影機(V C R )。 例如,H D Τ V之出現已經造成具有較現行由國家電 視系統委員會(N T S C )所提之標準爲高之解析度之電 視信號。所提之H D Τ V信號係爲數位的。因此’當一彩 色電視信號被轉換用於數位用途時’經常地亮度及色度信 號可以使用八位元加以數位化。N T S C彩色電視信號之 數位傳送每秒需要約2 6 0百萬位元之額定位元速率。對 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐) -4 - (請先閱讀背面之注意事項再填寫本頁) 裝 l·---訂--------- 經濟部智慧財產局員工消費合作社印制衣 477151 A7 B7 五、發明說明(2 ) 於H D T V傳輸速率更大’該速率可能額定需要每秒約 1 2 0 〇百萬位元。此等局傳輸速率可能早超出現丫了無線 標準所支援之頻寬。因此,需要一有效壓縮方法。 於行動電信應用中,壓縮方法也是一重要角色。典型 地,分封資料係被傳送於行動電信號應用中之遠方終端間 。於行動通訊中傳輸頻道的有限數量需要於傳輸分封則’ 一有效之壓縮方法。若干壓縮技術係可以採用以完成高速 傳輸速率。 適應動態範圍編碼(A D R C )及離散餘弦轉換( D C T )編碼提供爲本技藝中所知之影像壓縮技術。這兩 技術利用於一影像中之局部共相關以完成高壓縮比。然而 ,一有效壓縮演繹法可能因爲於後續編碼時,一較重要編 碼信號中之錯誤,而造成合成錯誤傳遞。此錯誤放大作用 可能造成一劣化視訊影像,其係可以迅速爲使用者所看到 (請先閱讀背面之注意事^填寫本頁) i 裝477151 A7 B7_ V. Description of the invention (1) Background of the invention 1. Field of the invention The present invention relates to data encoding processing to provide robust error recovery of data loss caused by signal transmission or signal storage. 2. BACKGROUND OF THE INVENTION Several technologies exist today to reconstruct loss / damage data of random errors that occur during signal transmission or storage. However, these techniques cannot deal with the loss of continuous packaging data. The continuum of loss information is described as a burst error in this technique. Burst errors may cause reconstructed signals with degraded quality, which is obvious to end users. In addition, the compression technology used to complete high-speed communication combines signal degradation caused by burst errors, so it is added to the reconstructed signal. Degradation. Examples of burst errors that affect transmission and / or storage signals can be seen in high-resolution television (HDTV) signals, mobile telecommunications applications, and video storage technologies. These video storage technologies include video discs (such as DVDs), micro- Discs and VCRs. For example, the advent of HDTV has resulted in TV signals with higher resolution than the current standard proposed by the National Television System Committee (NTSC). The HDV signal mentioned is digital. Therefore, 'when a color television signal is converted for digital use', often the luminance and chrominance signals can be digitized using eight bits. The digital transmission of NTSC color television signals requires a nominal bit rate of about 260 million bits per second. Applicable to China Paper Standard (CNS) A4 (210 X 297 mm) for this paper size -4-(Please read the notes on the back before filling this page) -Printed clothing by the Consumer Cooperative of the Intellectual Property Bureau of the Ministry of Economic Affairs 477151 A7 B7 V. Description of the invention (2) Higher transmission speed of HDTV 'This rate may be rated at about 12 million bits per second. These transmission rates may have exceeded the bandwidth supported by the wireless standard. Therefore, an effective compression method is needed. In mobile telecommunications applications, compression methods also play an important role. Typically, the packetized data is transmitted between remote terminals in mobile electrical signal applications. The limited number of transmission channels in mobile communications requires an effective compression method for transmission packetization. Several compression techniques can be used to achieve high-speed transfer rates. Adaptive Dynamic Range Coding (ADRC) and Discrete Cosine Transform (DCT) encoding provide image compression techniques known in the art. These two techniques use local co-correlation in an image to achieve high compression ratios. However, an effective compression deduction method may result in a synthetic error transmission due to errors in a more important encoded signal during subsequent encoding. This incorrect magnification may cause a degraded video image, which can be quickly seen by the user (please read the precautions on the back first ^ fill this page) i
I i an n 一5,r I n ·ϋ ϋ an ϋ 1 I #- 發明槪要 經濟部智慧財產局員工消費合作社印製 本發明提低種方法以包含藉由決定大於資料範圍之最 小値和小於資料範圍之最大値之中央値之資料。在一實施 例中,中央値受選擇爲在範圍値於後受到評估時,實際降 低一解碼錯誤之値。在一實施例中,中央値爲在重建時當 有錯誤時縮小預期均方錯誤之値。在一實施例中,最大値 和最小値表示一影像之圖素資料之強度。在另一實施例中 ,壓縮處理爲適應動態範圍編碼,和中央値爲除了最大和 -5- 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐) 477151 A7 __B7____ 五、發明說明(3 ) 最小値外,在資料之動態範圍內之値。 圖式之簡要說明 本發明之目的,特性及優點將爲熟習於此技藝者參考 以下之詳細說明而容易了解,其中: 圖1 A爲信號編碼,傳輸,及隨後解碼之處理的一實 施例。 圖1B和1C爲由處理器所執行當成軟體實施之本發 明之實施例。 圖1D和1E爲當成硬體邏輯實施之本發明之實施例 〇 圖2爲分封構造之一實施例。 圖3 A和3 B爲依照一實施例,當動態範圍(D R ) 過度評估時之實際和復原Q碼位準間之差異。 元件對照表 請 先 閱 讀 背 之 注 意 事 項i 填, 寫裝 本衣 頁 蓮 I 訂 經濟部智慧財產局員工消費合作社印製 封統 構 分器系器 結 號:碼理理出封 訊 Ν 解處處輸分 〇 一 0 0 5 5 0 〇 ·: 2 7 7 8 0 1-1 1-^ ΤΧ IX 1-- IX οοI i an n 5, r I n · ϋ ϋ an ϋ 1 I #-Invention 槪 ask the Intellectual Property Bureau of the Ministry of Economic Affairs to print the present invention to reduce the method to include the minimum method and Data that is smaller than the largest frame of the data frame. In one embodiment, the central receiver is selected to actually reduce a decoding error when the range is later evaluated. In one embodiment, the central frame is the frame that reduces the expected mean square error when there are errors during reconstruction. In one embodiment, the maximum 値 and the minimum 値 represent the intensity of the pixel data of an image. In another embodiment, the compression process is adapted to the dynamic range encoding, and the central unit is in addition to the maximum and -5- This paper size applies the Chinese National Standard (CNS) A4 specification (210 X 297 mm) 477151 A7 __B7____ V. Invention Explanation (3) The minimum value is within the dynamic range of the data. Brief Description of the Drawings The purpose, characteristics and advantages of the present invention will be easily understood by those skilled in the art with reference to the following detailed description, in which: Figure 1A is an embodiment of the processing of signal encoding, transmission, and subsequent decoding. Figures 1B and 1C are embodiments of the invention implemented as software executed by a processor. Figures 1D and 1E are embodiments of the present invention implemented as hardware logic. Figure 2 is an embodiment of a decapsulation structure. 3A and 3B are differences between actual and recovered Q code levels when the dynamic range (DR) is over-evaluated according to an embodiment. For the component comparison table, please read the notes on the back. I fill in and write this book. I order this book. I order the printed product of the Intellectual Property Department of the Intellectual Property Bureau of the Ministry of Economic Affairs. Lost points 〇 0 0 5 5 0 〇 ·: 2 7 7 8 0 1-1 1- ^ TX IX 1-- IX οο
器媒 體 器 碼輸號憶入示 編傳訊記輸顯 0 5 0 0 0 5 1 3 3 9 8 9 Γ"Η IX 1-1 1-1 1-1 1—I 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐) -6 - 477151 A7 B7 五、發明說明(3 ) 最小値外,在資料之動態範圍內之値 圖式之簡要說明 本發明之目的,特性及優點將爲熟習於此技藝者參考 以下之詳細說明而容易了解,其中: 圖1 A爲信號編碼,傳輸,及隨後解碼之處理的一實 施例。 圖1 B和1 C爲由處理器所執行當成軟體實施之本發 明之實施例。 圖1 D和1 E爲當成硬體邏輯實施之本發明之實施例 圖2爲分封構造之一實施例。 圖3 A和3 B爲依照一實施例,當動態範圍(D R ) 過度評估時之實際和復原Q碼位準間之差異。 元件對照表 請 先 閱 讀 背 面 之 注 意 事 項赢I 5裝 〇 〇 1-1 經濟部智慧財產局員工消費合作社印製 0 0 5 5 0 2 7 7 8 0 1—I 1—1 一—- TX 0〇 封統 構 分器系器 結 號:碼理理出封 訊N解處處輸分The device media device code input number is entered into the display and the communication record is displayed. 0 5 0 0 0 5 1 3 3 9 8 9 Γ " Η IX 1-1 1-1 1-1 1—I This paper size applies to Chinese national standards ( CNS) A4 specification (210 X 297 mm) -6-477151 A7 B7 V. Description of the invention (3) Except for the minimum, the diagram in the dynamic range of the data will briefly explain the purpose, characteristics and advantages of the present invention. For those skilled in the art, it is easy to understand with reference to the following detailed description, where: FIG. 1A is an embodiment of the signal encoding, transmission, and subsequent decoding processing. Figures 1B and 1C show an embodiment of the invention implemented as software executed by a processor. Figures 1D and 1E are embodiments of the present invention implemented as hardware logic. Figure 2 is an embodiment of the decapsulation structure. 3A and 3B are differences between actual and recovered Q code levels when the dynamic range (DR) is over-evaluated according to an embodiment. Component comparison table, please read the note on the back to win I 5 packs. 〇1-1 Printed by the Consumer Cooperatives of the Intellectual Property Bureau of the Ministry of Economic Affairs 0 0 5 5 0 2 7 7 8 0 1—I 1—1 1—- TX 0 〇Funding System Detector System Ending Number: The code manager can figure out the message N solution and lose points everywhere.
澧 器媒 體 器 碼輸號憶入示 編傳訊記輸顯 0 5 0 0 0 5 1 3 3 9 8 9 1-- IX 1—- IX IX I—I -6 - 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐) 經濟部智慧財產局員工消費合作社印製 477151 A7 B7 五、發明說明(4 ) 詳細說明 本發明提供一種方法’用以編碼和安排一訊號流,以 提供堅固錯誤復原,和一方法以執行錯誤復原。於以下說 明中’爲了解釋目的,各種細節係加以說明,以提供對本 發明之完全了解。然而,對於熟習於本技藝者而言,這些 細節於實施本發明中並不需要。於其他例子中,已知之電 氣結構及電路係示於方塊圖中,以防止不必要地限制本發 明。 下列說明在適應動態範圍編碼(A D R C )編碼視頻 影像之文中,更明確地說,關於一損失或損壞(損失/損 壞)之例如動態範圍(D R )之壓縮參數的復原。然而, 可以想出本發明並不限定於視頻,不限於A D R C編碼及 所產生之特定壓縮參數;而是對於本發明明顯的是適用至 不同壓縮技術,不同類型之共相關資料,包含,但並不限 定於二維靜態影像,全息影像,三維靜態影像,視訊,二 維移動影像,三維移動影像,單音聲音,和N頻道聲音。 本發明亦可應用至不同壓縮參數包括,但不限制於此,中 央値(CEN),其可使用在ADRC處理中。此外,本 發明亦可應用至不同型式A R D C處理包括邊緣匹配及非 邊緣匹配A D R C。有關於A R D C之進一步資料見於 1 9 9 1年九月4至6日之意大利突尼舉行之第四屆國際 HDTV會議由今度,富士森,中屋所發表之”未來 H D T V數位V T R之自適應動態範圍編碼設計”中。 信號編碼,傳輸及後續解碼處理係如於圖1 Α所示。 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐) -------------··裝----l·---訂 i (請先閱讀背面之注意事項再填寫本頁) #· 經濟部智慧財產局員工消費合作社印製 477151 A7 B7_ 五、發明說明(5 ) 信號1 0 0係爲至編碼器1 1 0之資料串流輸入。編碼器 1 1 0遵循自適應動態範圍編碼(A D R C )壓縮演繹法 並產生分封1 ,…,N用於沿著傳輸媒體1 3 5傳輸。解 碼器1 2 0由傳輸媒體1 3 5接收分封1 ,…,N,並產 生信號1 3 0。信號1 3 0係爲信號1 0 0之再重建。 編碼器1 1 0及解碼器1 2 0可以以各種方式加以實 施,以執行於此所述之功能。於一實施例中,編碼器 1 1 0及/或解碼器1 2 0可以被實施爲儲存於媒體上之 軟體並被爲一般目的或特殊規格之電腦或資料處理系統所 執行,該電腦系統典型包含一中央處理單元,記憶體及一 或多數輸入/輸出裝置及共處理機,如於圖1 B和1 C所 示。或者,編碼器1 1 0及/或解碼器1 2 0可以被實施 爲邏輯,以執行於此所述之功能,如於圖1 D和1 E所示 。另外,編碼1 1 0及/或解碼器1 2 0可以被實施爲硬 體,軟體或韌體之組合。 用以編碼和復原損失/損壞壓縮參數之電路的實施例 係如圖1 B和1 C所示。於此所述之方法可以被執行於一 特殊規格或一般目的處理機系統1 7 〇執行。指令係儲存 於記憶體1 9 0及由處理機1 7 5所接取,以執行於此所 述之很多步驟。輸入1 8 0接收輸入串流並轉送資料至處 理機175。輸出185輸出資料。於圖1B中,輸出可 以包含已編碼資料。於圖1 C中,一旦壓縮參數復原時, 輸出可以包含已解碼資料,例如解碼之影像資料,以足以 驅動例如顯示器1 9 5之外部裝置。 (請先閱讀背面之注意事項再填寫本頁) r.·裝 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐) -8- 477151 A7 B7______ 五、發明說明(6 ) 在另一實施例中,輸出1 8 5輸出復原壓縮參數。復 原壓縮參數於後輸入至其它電路以產生解碼資料。 圖1 D和1 E顯示用以編碼壓縮參數和復原損失/損 壞壓縮參數之電路之實施例。於此所述之方法可在特殊構 成邏輯中執行,如應用特殊積體電路(A S I C ),大尺 寸積體(L S I )邏輯,可程式閘陣列,或一或多個處理 器。 圖2顯示用以於點對點連接及網路間之資料傳輸之資 料結構或分封結構3 0 0之一實施例。分封結構3 0 0係 由編碼1 1 0產生並傳輸於傳輸媒體1 3 5之間。對於一 實施例,分封結構3 0 0包含五位元組之信頭資訊’八 D R位元,八C E N位元,一移動旗標位元’五位元臨界 指標,及3 5 4位元之Q碼。於此所述之分封結構係被例 示及可以實施用以傳輸於非同步傳輸模式(A τ Μ )網路 。然而,本發明並不限定於此所述之分封結構及用於各網 路中之分封結構可以加以利用。 在一實施例中,資料結構3 0 0可儲存在一電腦可讀 取記憶體中,因此資料結構3 0 0可由在一資料處理系統 上執行之程式所存取。儲存在記憶體中之此資料結構 3 0 0包括一動態範圍目標(D R )和相關於動態範圍資 料目標之一中央値資料目標(C Ε Ν )。中央値資料目標 具有一値,其大於動態範圍資料目標之最小値,且小於動 態範圍資料目標之最大値。當動態範圍資料目標受評估時 ,中央値資料目標實質降低一解碼錯誤。每一資料結構 (請先閱讀背面之注意事項再填寫本頁) 裝-----:----訂---- 經濟部智慧財產局員工消費合作社印製 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐) -9-Enter the code of the media device code and enter the display of the communication record. 0 5 0 0 0 5 1 3 3 9 8 9 1-- IX 1—- IX IX I—I -6-This paper size applies to Chinese national standards ( CNS) A4 size (210 X 297 mm) Printed by the Consumer Cooperative of the Intellectual Property Bureau of the Ministry of Economic Affairs 477151 A7 B7 V. Description of the invention (4) Detailed description The present invention provides a method 'for encoding and arranging a signal stream to provide Robust error recovery, and a method to perform error recovery. In the following description, 'for the purposes of explanation, various details are described to provide a thorough understanding of the present invention. However, for those skilled in the art, these details are not needed in the practice of the present invention. In other examples, known electrical structures and circuits are shown in block diagrams to prevent unnecessary limitations to the invention. The following description, in the article Adapting Dynamic Range Coding (A D R C) encoded video images, more specifically, relates to the restoration of compression parameters such as dynamic range (DR) for a loss or damage (loss / damage). However, it is conceivable that the present invention is not limited to video, and is not limited to ADRC encoding and the specific compression parameters generated; but it is obvious to the present invention that it is applicable to different compression technologies and different types of related materials, including, but not Not limited to two-dimensional still images, holographic images, three-dimensional still images, video, two-dimensional moving images, three-dimensional moving images, mono sound, and N-channel sound. The present invention can also be applied to different compression parameters including, but not limited to, the central chirp (CEN), which can be used in ADRC processing. In addition, the present invention can also be applied to different types of A R D C processing, including edge matching and non-edge matching A D R C. Further information on ARDC can be found in the 4th International HDTV Conference held in Tunis, Italy, September 4-6, 1991. "Future Sensitivity, Future Sensitivity, HDTV Digital VTR Adaptive Dynamics" published by Today, Fujimori, and China House. Range Coding Design. " The signal encoding, transmission and subsequent decoding processes are shown in Figure 1A. This paper size applies to China National Standard (CNS) A4 (210 X 297 mm) ------------- · Installation ---- l · --- Order i (Please read first Note on the back, please fill in this page) # · Printed by the Consumers' Cooperative of the Intellectual Property Bureau of the Ministry of Economic Affairs 477151 A7 B7_ V. Description of the invention (5) Signal 1 0 0 is the data stream input to the encoder 1 1 0. The encoder 1 1 0 follows the adaptive dynamic range coding (A D R C) compression deduction method and generates a packet 1, ..., N for transmission along the transmission medium 1 3 5. The decoder 1 2 0 receives the packets 1, ..., N from the transmission medium 1 3 5 and generates a signal 1 3 0. Signal 130 is a reconstruction of signal 100. The encoder 110 and decoder 120 can be implemented in various ways to perform the functions described herein. In an embodiment, the encoder 110 and / or the decoder 120 may be implemented as software stored on a medium and executed by a general purpose or special specification computer or data processing system. The computer system is typically Contains a central processing unit, memory, and one or more input / output devices and coprocessors, as shown in Figures 1B and 1C. Alternatively, the encoder 110 and / or the decoder 120 may be implemented as logic to perform the functions described herein, as shown in Figs. 1D and 1E. In addition, the encoding 110 and / or the decoder 120 may be implemented as a combination of hardware, software or firmware. An embodiment of a circuit for encoding and restoring the loss / damage compression parameters is shown in Figs. 1B and 1C. The methods described herein can be performed on a special specification or general purpose processor system 170. The instructions are stored in the memory 190 and accessed by the processor 175 to perform many of the steps described herein. Input 1 8 0 receives the input stream and forwards the data to processor 175. Output 185 output data. In Figure 1B, the output can include encoded data. In FIG. 1C, once the compression parameters are restored, the output may include decoded data, such as decoded image data, to drive external devices such as the display 195. (Please read the precautions on the back before filling this page) r. · The size of this paper is applicable to China National Standard (CNS) A4 (210 X 297 mm) -8- 477151 A7 B7______ 5. Description of the invention (6) In another embodiment, the output 1 8 5 output restores the compression parameters. The restored compression parameters are then input to other circuits to generate decoded data. Figures 1 D and 1 E show an embodiment of a circuit for encoding compression parameters and restoring loss / corruption compression parameters. The methods described herein can be performed in special configuration logic, such as the application of special integrated circuit (A S I C), large size integrated circuit (L S I) logic, programmable gate array, or one or more processors. FIG. 2 shows an embodiment of a data structure or decapsulation structure 300 for point-to-point connection and data transmission between networks. The decapsulation structure 3 0 0 is generated by the code 1 1 0 and transmitted between the transmission media 1 3 5. For an embodiment, the encapsulation structure 300 includes five-byte header information 'eight DR bits, eight CEN bits, a mobile flag bit' five-bit critical index, and three-five-four bits. Q code. The decapsulation structure described herein is exemplified and can be implemented for transmission in an asynchronous transmission mode (A τ M) network. However, the present invention is not limited to the decapsulation structure described here and the decapsulation structure used in each network can be used. In one embodiment, the data structure 300 can be stored in a computer-readable memory, so the data structure 300 can be accessed by a program running on a data processing system. The data structure 3 0 0 stored in the memory includes a dynamic range target (DR) and a central data target (C Ε Ν) related to one of the dynamic range data targets. The central frame data target has a frame that is larger than the minimum frame of the dynamic range data object and smaller than the maximum frame of the dynamic range data object. When the dynamic range data target is evaluated, the central frame data target substantially reduces a decoding error. Each data structure (please read the precautions on the back before filling this page) Pack -----: ---- Order ---- Printed by the Consumers' Cooperative of the Intellectual Property Bureau of the Ministry of Economic Affairs This paper is printed in accordance with Chinese national standards (CNS) A4 size (210 X 297 mm) -9-
//1M A7// 1M A7
3 〇 0亦可爲分封結構。 如上所述’上述之範例系統和裝置可使用以編碼影像 如使用A D R C之視頻或移動影像。a D R C已建立如 同〜可實現之實時技術以編碼和壓縮影像,以準備用於固 定位元率傳輸。 組成數位影像之離散資料點已知如同圖素。每一圖素 可獨立的使用8位元表示,但是亦可使用其它表示以用於 壓縮或分析之目的。許多表示藉由將原始資料分成分離資 料組而開始。爲了習知之理由,這些組,其可由一或多片 資料或圖素構成,乃視爲塊,即使它們不具有習知之塊狀 。而後這些資料可特徵在於壓縮參數。在一實施例中,這 些壓縮參數包括塊參數和位元流參數。 一塊參數包括說明影像如何之資料。因此,塊參數亦 可使用以界定塊之一或多個屬性。例如,在A D R C中, 塊寬資訊可包括最小圖素値(Μ I N ),最大圖素値( MAX),中央値(C E N ),圖素値之動態範圍(D R ),或這些値之結合。 位元流參數亦可包括影像如何編碼之資料。在一實施 例中,一位元流參數亦指示使用以編碼資料之位元數目。 例如,在A D R C中,位元流參數亦可包括Q位元和移動 旗標(M F )値。因此,在此實施例中,位元流參數可指 示資料如何編碼,其表示一圖素値位在由全球資訊所特定 之範圍內。 在使用A D R C編碼之例中,塊資料包含Μ I Ν, ------------裝 (請先閱讀背面之注意事項再填寫本頁) 訂--------- 經濟部智慧財產局員工消費合作社印製 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐) -10- 477151 經濟部智慧財產局員工消費合作社印製 A7 B7 五、發明說明(8 ) D R,和Q位元編號(於下界定)’和圖素資料包含Q碼 。DR 可界定當成 MAX — MI N 或 MAX — MI N+1 。在本實施例中,如下所述,C E N亦可界定爲介於 Μ I N和M A X間之値。例如,C E N可等於Μ I N + D R / 2。300 can also be a sealed structure. As described above, the above-described example systems and devices can be used to encode images, such as video or moving images using ADRC. a D R C has established the same real-time technology to encode and compress images in preparation for fixed-bit rate transmission. The discrete data points that make up a digital image are known as pixels. Each pixel can be independently represented in 8 bits, but other representations can also be used for compression or analysis purposes. Many representations begin by dividing the source data into separate data groups. For reasons of convention, these groups, which can be composed of one or more pieces of data or pixels, are considered blocks, even if they do not have a conventional block shape. This information can then be characterized by compression parameters. In one embodiment, these compression parameters include block parameters and bit stream parameters. A parameter includes information describing how the image is. Therefore, block parameters can also be used to define one or more attributes of a block. For example, in A D R C, the block width information may include the minimum pixel size (M I N), the maximum pixel size (MAX), the central frame size (CEN), the dynamic range of the pixel size (DR), or a combination of these. The bitstream parameters may also include information on how the image is encoded. In one embodiment, the bitstream parameter also indicates the number of bits used to encode the data. For example, in A D R C, the bit stream parameters may also include Q bits and a moving flag (M F) 値. Therefore, in this embodiment, the bit stream parameter can indicate how the data is encoded, which indicates that a pixel is located in a range specified by global information. In the case of using ADRC encoding, the block data contains Μ Ν Ν, ------------ installed (please read the precautions on the back before filling this page) Order -------- -Printed by the Intellectual Property Bureau of the Ministry of Economic Affairs of the Consumer Cooperatives, the paper size is applicable to the Chinese National Standard (CNS) A4 specification (210 X 297 mm) -10- 477151 Printed by the Intellectual Property Bureau of the Ministry of Economic Affairs of the Consumer Cooperatives of Consumers A7 B7 V. Description of the invention (8) DR, and Q bit numbers (defined below) 'and the pixel data include Q codes. DR can be defined as MAX — MI N or MAX — MI N + 1. In this embodiment, as described below, C E N can also be defined as the interval between M IN and M A X. For example, C E N may be equal to M I N + D R / 2.
Q碼爲在範圍〔0 ,2 Q _ 2〕中之整數,其指示在組 {MIN,MIN+1 ,···,CEN,…,MAX}中之一 値。由於Q位元,Q,通常較小且DR値可爲相當大,一 般不可能正確呈現所有的圖素値。因此,當圖素値降低至 Q碼値時,會導入一些量化錯誤。例如,如果Q位元編號 爲3時,則其可從組{ Μ I N,Μ I N + 1 ,…,C E N ,…,M A X }中呈現2 3二8之値,而無錯誤。具有其它 値之圖素環繞此8個値之一。這些環熱會導入錯誤。 暫時的壓縮對於如及時展開超過一次之影像之序列是 可行的。一影像框界定當成在一給定時間周期內上升之圖 素之2維集合。已知的是,來自暫時靠近影像框之相關位 置之資料易於包含相似的値。當此爲真時,藉由編碼只一 次這些相似値,即可改善壓縮。 在第二例中,藉由添加移動旗標(M F )至第一例之 塊資訊,即可編碼多重影像框。此M F指示來自每一框之 資料是否使用分離Q碼編碼。如果無指示移動,則使用相 同Q碼以表示每一框資料。如果指示移動,則分離Q碼使 用以編碼每一框。The Q code is an integer in the range [0, 2 Q _ 2], which indicates one of the groups {MIN, MIN + 1, ..., CEN, ..., MAX} 値. Due to the Q bits, Q is usually small and DR 値 can be quite large, and it is generally impossible to render all pixels 正确 correctly. Therefore, when the pixel 値 is reduced to Q code 一些, some quantization errors are introduced. For example, if the Q bit number is 3, it can show 2 3 2 8 from the group {Μ IN N, Μ N + 1, ..., C E N, ..., M A X} without error. Pixels with other frames surround one of these 8 frames. These ring heats can introduce errors. Temporary compression is possible for sequences such as images that are unrolled more than once in time. An image frame is defined as a 2-dimensional set of pixels that rises over a given period of time. It is known that data from related locations that are temporarily close to the image frame tend to contain similar frames. When this is true, compression can be improved by encoding these similarities only once. In the second example, multiple video frames can be encoded by adding a moving flag (M F) to the block information of the first example. This MF indicates whether the data from each frame is encoded using a separate Q code. If no movement is instructed, the same Q code is used to represent each frame of information. If movement is indicated, a separate Q code is used to encode each box.
可使用兩方法之A D R C編碼:非邊緣匹配A D R C 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐) ------------裝-----^—訂-------—· (請先閱讀背面之注意事項再填寫本頁) -11 - 477151 A7 -------£L__ 五、發明說明(9 ) 和邊緣匹配A D R C。此兩方法之不同在於使用以產生量 話碼(Q碼)値之準確公式。另一方面,此兩方法有許多 共同處。兩方法開始將影像分段成塊,而後決定每一塊之 最大(MAX)和最小(MI N)圖素値。在 2 D A D R C中’決定一量化碼(q碼)値以用於每一圖 素。在3DADRC中,決定一移動旗標(MF )値(如 果移動是1 ,否則爲0 )以用於每一塊。當移動旗標爲1 時’可決定一獨特Q碼以用於每一塊。當移動旗標爲0時 ,可平均相關圖素値以用於每一塊,塊參數因此更新,和 可決定會從每一框呈現相關圖素之單一 Q碼。 非邊緣匹配A D R C可界定D R値如 DR = MAX - MIN + 1 ⑴ 和一量化碼如 2Q{xi-MIN + V2) qi = ---- (2) ^ DR K } L- · - 其中Q爲量化位元之數目,和X ^爲原始圖素値(或平 均圖素値,在3 D A D R C中之非移動塊之例中)。圖素 値可依照下列公式重建或復原: 化,晌㈤ ⑶ L 2Q 」 其中MAX表示塊之最大位準,M I N表示塊之最小 位準,Q表示量化位元之數目’ Q 1表示量化碼(編碼資料 ),X,i表示每一樣本之解碼位準’和其預期爲X ’ & = x 1 (請先閱讀背面之注意事Μ填寫本頁) L., I - n H ϋ n I n n 一 δ 午· n n n an ·ϋ n ϋ I - 經濟部智慧財產局員工消費合作社印製 本紙張尺度適用中國國家標準(CNS)A4規格(210 x 297公釐) -12- 477151 A7 _____B7 五、發明說明(1〇) 邊緣匹配A D R C可界定D R値如Two methods of ADRC coding can be used: non-edge matching ADRC This paper size is applicable to China National Standard (CNS) A4 specification (210 X 297 mm) ------------ install ----- ^ —Order -------— · (Please read the notes on the back before filling out this page) -11-477151 A7 ------- £ L__ 5. Description of the invention (9) and edge matching ADRC. The difference between the two methods lies in the exact formula used to generate the volume code (Q code). On the other hand, these two approaches have many things in common. The two methods start by segmenting the image into blocks, and then determine the maximum (MAX) and minimum (MIN) pixels of each block. In 2 D A D R C ', a quantization code (q-code) is determined for each pixel. In 3DADRC, a move flag (MF) 决定 (if the move is 1 and 0 otherwise) is determined for each block. When the mobile flag is 1, a unique Q code can be determined for each block. When the moving flag is 0, the related pixels can be averaged for each block, the block parameters are updated accordingly, and a single Q code that determines the related pixels from each box can be decided. Non-edge matching ADRC can define DR 値 such as DR = MAX-MIN + 1 ⑴ and a quantization code such as 2Q (xi-MIN + V2) qi = ---- (2) ^ DR K} L- ·-where Q is The number of quantization bits, and X ^ is the original pixel 値 (or average pixel 値, in the example of a non-moving block in 3 DADRC). The pixel 値 can be reconstructed or restored according to the following formula: 化, ⑶ L 2Q ″ where MAX represents the maximum level of the block, MIN represents the minimum level of the block, Q represents the number of quantization bits, and Q 1 represents the quantization code ( (Encoding data), X, i represents the decoding level of each sample 'and its expected value is X' & = x 1 (please read the note on the back first and fill in this page) L., I-n H ϋ n I nn 一 δ afternoon · nnn an · ϋ n ϋ I-Printed by the Consumers' Cooperative of the Intellectual Property Bureau of the Ministry of Economic Affairs This paper is printed in accordance with China National Standard (CNS) A4 (210 x 297 mm) -12- 477151 A7 _____B7 V. DESCRIPTION OF THE INVENTION (10) The edge matching ADRC can define DR such as
DR = MAX - MIN ⑷ 和一'量化碼如 (2qDR = MAX-MIN ⑷ and a 'quantization code such as (2q
DR + V2 (5) 其中Q爲量化位元之數目,和x t爲原始圖素値(或平 均圖素値,在3DADRC中之非移動塊之例中)。圖素 値可依照下列公式重建或復原: 歷+势+丨/2 ⑹ (請先閱讀背面之注意事項再填寫本頁) 其中MAX表示塊之最大位準,Μ I N表示塊之最小 位準,Q表示量化位元之數目,Q t表示量化碼(編碼資料 ),X ’ i表示每一樣本之解碼位準,和其預期爲XX : 經濟部智慧財產局員工消費合作社印製 雖然上述用於A D R C之範例量化碼和重建公式使用 Μ I N値,但是,任何大於或等於Μ I N,和小於或等於 M A X亦可伴隨D R使用以編碼和解碼圖素値。對於邊緣 匹配和非邊緣匹配A D R C而言,在傳輸時,D R値會損 失。如果D R損失,則圖素値可使用一用於D R之評估重 建。 當D R過度評估(或不足評估)時,最大解碼錯誤相 關於使用於編碼和解碼圖素値之値,如塊參數。圖3 A和 3 B顯示當D R過度評估2 0 %時之介於實際和復原Q碼 位準間之差異。 -13- 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐) 477151 Α7 Β7 五、發明說明(n) 經濟部智慧財產局員工消費合作社印製 例如,圖3 A顯示當 碼錯誤,和Μ I N値使用 過度評估2 0 %時之最大 3 Β之最大解碼錯誤,其 最大解碼錯誤。 在圖3 Α左邊上之軸 ADRC之在2位元AD 軸2 2 0爲如果DR過度 示,最大解碼錯誤發生在 時亦發生相同的結果) 圖3 A所顯示之效能 3 B所顯示者比較。假設 C E N時,最大復原錯誤 誤降低,藉以提供在復原 應增加。因此,藉由使用 編碼,傳輸,和解碼之Q ,兩均方解碼錯誤和最大 D R過度評估2 0 %時之最大解 以編碼和解碼。圖3 B爲當D R 解碼錯誤’和使用C E N値。圖 使用C E N,小於使用Μ I N之 2 1 0爲使用非邊緣匹配 R C塊中之Q碼之適當復原。右 評估2 0 %時復原之Q碼。如所 最大Q碼値。(當D R不足評估 可與使用中央値取代Μ I Ν之圖 達成相同D R評估錯誤時,使用 變成一半。再者,預期之均方錯 訊號之雜訊比(S N R )中之對 C Ε Ν,可增強用於影像資料之 碼之復原,且在D R評估錯誤時 解碼錯誤可實質降低,且甚至更 可選擇中央値當成一値以在D R評估時實質降低,甚 至減少用於重建時之預期均方錯誤,且具有一固定D R評 估錯誤。此値可以下列處理決定。 一般型式之A D R C解碼等式而無截斷錯誤爲: = MIN + ~Zi 十 κ Μ ⑺ (請先閱讀背面之注意事項再填寫本頁) 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐) -14- 477151 A7 B7 五、發明說明(12 ) 其中Zl ’M’和κ之値提供在表1中。式(7)之一 般型式同時簡化A D R C符號且允許非邊緣匹配和邊緣匹 配之公式之同時導出。 表1 :使用在一 -般解碼等式中之項 目之値 項目 非邊緣匹配ADRC 邊緣匹配ADRC τ、 qi+ 1 /2 Q> Μ 2q 2Q-1 Κ 〇 y2 如果不傳送Μ I N値,而是傳送其它値且D R値爲絕 對正時,其它値可表示如: VAL = MIN + aDR ⑻ 其中α爲常數。因此,A D R C解碼等式爲: 請 先 閱 讀 背 面 之 注 意 事 項j I I 訂 (9) # 使D R e表示動態範圍之錯誤評估。則錯誤解碼可表示 經濟部智慧財產局員工消費合作社印製 爲 1 error (i)DR + V2 (5) where Q is the number of quantization bits, and x t is the original pixel 値 (or average pixel 値, in the example of a non-moving block in 3DADRC). The pixel 値 can be reconstructed or restored according to the following formula: calendar + potential + 丨 / 2 ⑹ (please read the precautions on the back before filling this page) where MAX represents the maximum level of the block, M IN represents the minimum level of the block, Q is the number of quantization bits, Q t is the quantization code (encoded data), X 'i is the decoding level of each sample, and it is expected to be XX: Printed by the Consumer Cooperative of the Intellectual Property Bureau of the Ministry of Economic Affairs. ADRC's example quantization code and reconstruction formula use M IN 値, however, any greater than or equal to M IN and less than or equal to MAX can also be used with DR to encode and decode pixel 値. For edge-matched and non-edge-matched A D R C, D R 値 will be lost during transmission. If D R is lost, then the pixels 値 can use an evaluation reconstruction for D R. When DR is over-evaluated (or under-evaluated), the maximum decoding error is related to the use of encoding and decoding pixels, such as block parameters. Figures 3 A and 3 B show the difference between the actual and recovered Q code levels when DR is overestimated by 20%. -13- This paper size is in accordance with Chinese National Standard (CNS) A4 (210 X 297 mm) 477151 Α7 Β7 V. Description of the invention (n) Printed by the Consumer Cooperative of the Intellectual Property Bureau of the Ministry of Economics For example, Figure 3 A shows the code Error, and the maximum decoding error of the maximum 3 Β when MIMO is over-evaluated by 20%, and its maximum decoding error. The axis ADRC on the left side of Figure 3 is the 2-bit AD axis 2 2 0, which is the same result if the maximum decoding error occurs if the DR is overrepresented. Figure 3 A shows the performance 3 B shows the comparison . Assuming C EN, the maximum recovery error is reduced by mistake, thereby providing an increase in recovery. Therefore, by using the encoding, transmission, and decoding Q, the two mean square decoding errors and the maximum DR are overestimated by 20% of the maximum solution for encoding and decoding. Fig. 3B shows when D R is decoded wrong 'and C E N 値 is used. The figure using C E N, less than 2 1 0 using M I N is a proper restoration of Q codes in non-edge matching R C blocks. Right Evaluates the Q code recovered at 20%. As shown in the maximum Q code. (When the DR under-evaluation can achieve the same DR evaluation error as the graph using the central 値 instead of M IN, the use becomes half. Moreover, the expected C ε in the noise-to-noise ratio (SNR) of the mean square error signal, It can enhance the recovery of the code used for image data, and the decoding error can be substantially reduced when the DR evaluation is wrong, and even the center can be selected as a unit to substantially reduce the DR evaluation, and even reduce the expected average for reconstruction. Square error, and has a fixed DR evaluation error. This can be determined by the following processing. The general type of ADRC decoding equation without truncation error is: = MIN + ~ Zi 十 κ Μ ⑺ (Please read the precautions on the back before filling (This page) The paper size is in accordance with Chinese National Standard (CNS) A4 (210 X 297 mm) -14- 477151 A7 B7 V. Description of the invention (12) Where Zl 'M' and κκ are provided in Table 1. The general type of equation (7) simultaneously simplifies ADRC symbols and allows the derivation of non-edge matching and edge matching formulas at the same time. Table 1: Use of non-edge matching non-edge matching ADRC edges of the items in the general decoding equation Match ADRC τ, qi + 1/2 Q > Μ 2q 2Q-1 Κ 〇y2 If you do not transmit Μ IN 値, but transmit other 値 and DR 値 is absolutely positive, other 値 can be expressed as: VAL = MIN + aDR ⑻ Where α is a constant. Therefore, the ADRC decoding equation is: Please read the precautions on the back j II Order (9) # Let DR e represent the wrong evaluation of dynamic range. The wrong decoding can indicate the staff consumer cooperative of the Intellectual Property Bureau of the Ministry of Economic Affairs Printed as 1 error (i)
VAL-aDRe + DR^^-K (10) 其中 error 表示一錯誤解碼,且因此解碼錯誤 r C t )可寫成 : error{ = (DR-DRe) Μ a (11) 本紙張尺度適用中_家標準(CNS)A4規格(21〇 X 297公釐) -15- 477151 A7 B7 五、發明說明(13) 因此’均方錯誤(MS E )可表示成α之函數: MSE{a)^^(err〇ri)2 (12) ^ i=l 一 a (13)VAL-aDRe + DR ^^-K (10) where error indicates an incorrect decoding, and therefore the decoding error r C t) can be written as: error {= (DR-DRe) Μ a (11) This paper is applicable in the home Standard (CNS) A4 specification (21 × X 297 mm) -15- 477151 A7 B7 V. Description of invention (13) Therefore, 'mean square error (MS E) can be expressed as a function of α: MSE {a) ^^ ( err〇ri) 2 (12) ^ i = l a a (13)
N (D7?-丄〕2 [ζ,2-2々Μα + Μ2α:2] (14) 其中error i表示解碼錯誤,n表示錯誤解碼圖素之數 目,和α爲非負實數。 預期均方錯誤可表示成α之函數以使α最佳化: E{MSE(a)) = ^ (D/? ^ DRe )2ί ^ [ε{ζ^ )- 2E(Zi )Μα+Μ 2α2 ] -----------裝 (請先閱讀背面之注意事項再填寫本頁) (15) (DR-DRef [Ε(ζ;)-2Ε(ζί)Μα^Μ2α2 (16) 經濟部智慧財產局員工消費合作社印製 其中MS Ε (α )表示以α爲函數表示之均方錯誤,和 Ε表示預期均方錯誤。 藉由計算第一和第二偏差,可檢查縮小之條件: E’(MSE(a))=(DR — DRJ _ (17) 2Ε{ζ( )Μ + 2Μ2 a] ^ {MSE(a)) = (DR - DRe ff ~^\[2M2} (18) 從等式(1 8 )中可知,當D R e * D R時,第二偏差 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐) -16- 1T---------#_ //151 A7 B7 1 '發明說明(14) 〇上之點爲全 爲絕對正;因此,在E ’( M S E ( α )) 部最小。此可達成,如果: 2Λί2α = 2£:(ζ,·)Μ (19) 因此,等式(1 9 )爲 咏) α_ Μ (20) 假設Q碼値之一均勻分佈’預期値可爲 柳)=Σ 2q -1 _ 丨丨― (21) 因此,在非邊緣匹配A D R C之例中’等式(2〇 變成: 2q -1 E{q^V2) 2q -+ ½N (D7?-丄) 2 [ζ, 2-2々Μα + Μ2α: 2] (14) where error i represents a decoding error, n represents the number of erroneously decoded pixels, and α is a non-negative real number. Expected mean square error Can be expressed as a function of α to optimize α: E {MSE (a)) = ^ (D /? ^ DRe) 2ί ^ [ε {ζ ^)-2E (Zi) Μα + Μ 2α2] --- -------- Installation (please read the precautions on the back before filling this page) (15) (DR-DRef [Ε (ζ;)-2Ε (ζί) Μα ^ Μ2α2 (16) Intellectual Property of the Ministry of Economic Affairs Bureau employee consumer cooperative prints where MS Ε (α) represents the mean square error expressed as a function of α and E represents the expected mean square error. By calculating the first and second deviations, the narrowing conditions can be checked: E '( MSE (a)) = (DR — DRJ _ (17) 2Ε {ζ () Μ + 2Μ2 a] ^ {MSE (a)) = (DR-DRe ff ~ ^ \ [2M2} (18) From the equation ( 1 8), when DR e * DR, the second deviation of this paper size applies the Chinese National Standard (CNS) A4 specification (210 X 297 mm) -16- 1T --------- # _ // 151 A7 B7 1 'Invention (14) The points on 〇 are all absolutely positive; therefore, the E' (MSE (α)) part is the smallest. This can be achieved if: 2Λί2α = 2 £: (ζ, ·) M (19) Therefore, equation (1 9) is yong) α_ Μ (20) Assuming that one of the Q codes 均匀 is uniformly distributed 'expected 値 can be willow) = Σ 2q -1 _ 丨 丨― (21) Therefore, in the case of non-edge matching ADRC, the equation (2〇 becomes: 2q -1 E {q ^ V2) 2q-+ ½
2Q :½ (請先閱讀背面之注意事項再填寫本頁) (22) 經濟部智慧財產局員工消費合作社印製 相似的,在邊緣匹配A D R C之例中,等式(2〇) 變成: 2Q _1iy.=Z2Z=l/2 α 2Q -1 2Q-1 將 (23)1/2代入等式(8 )中’傳送之最佳値爲:2Q: ½ (Please read the notes on the back before filling out this page) (22) The consumer cooperative of the Intellectual Property Bureau of the Ministry of Economic Affairs printed a similar one. In the example of edge matching ADRC, equation (2〇) becomes: 2Q _1iy . = Z2Z = l / 2 α 2Q -1 2Q-1 Substituting (23) 1/2 into equation (8) for 'best transmission' is:
VAL = MIN + DR/2 = CEN (24) 對於非邊緣匹配A D R C或邊緣匹配A D R c 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐) -17- 477151 Α7R7 五、發明說明(15 ) 雖然此偏差假設Q碼値之一均勻分佈,Q碼値靠近區 域中間之非均勻分佈亦可支持C E N値之使用。 使用等式(1 6 )和代換α = 0,因此,V A L = MIN,和α=1/2,因此,VAL = CEN,藉此可量 化C E N之傳輸優點。 ^ 假設Q碼値之一均勻分佈,E ( Q : 2 )可計算如下: 2β-1/ 1 、£^2) = Σ tq /Τ=Π , ^ (2β -1)(2δ+ι -1) (25) 用於C Ε Ν値解碼之均方錯誤對用於Μ I Ν値解碼之 均方錯誤之比例在各種Q位元値Q下列表如表2所示: MSE降低比例 (26) 万(用於軒馬之E^f] 表2 : C Ε N値解碼之Ε ( M S Ε )對Μ I N値解碼 之Ε ( M S Ε )之比例對Q位元値Q碼。 (請先閱讀背面之注意事項再填寫本頁) 經濟部智慧財產局員工消費合作社印製 M S E降低比例 Q 非邊緣匹配ADRC 邊緣匹配ADRC 1 0.200 0.500 2 0.238 0.357 3 0.247 0.300 4 0.249 0.274 4 0.250 0.262 6 0.250 0.256 7 0.250 0.253 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公爱) -18- 477151 A7 ____B7____ 五、發明說明(16 ) 因此可量化假設一些共同型式A D R C編碼下之D R 復原之均方錯誤之降低。因此,C E N値爲在A D R C傳 輸受到D R損失中之D R之均方最佳對應部份。此型之編 碼視爲中央値A D R C。 在中央値ADRC中,中央値(CEN)可取代 Μ I N値傳送。在一實施例中,如上所述,C E N値可界 定成 CEN = MIN + DR 丁 (27) 在此實施例中,用於重建x,之公式可藉由將Μ I N CEN - DR/2代入等式(3)和(6)中,即可得 亦即,對於非邊緣匹配A D R C : (28) 和在邊緣匹配A D R C之例中:VAL = MIN + DR / 2 = CEN (24) For non-edge-matched ADRC or edge-matched ADR c This paper size applies the Chinese National Standard (CNS) A4 specification (210 X 297 mm) -17- 477151 Α7R7 V. Description of the invention (15) Although this deviation assumes that one of the Q codes 均匀 is evenly distributed, the non-uniform distribution of Q codes 値 near the middle of the area can also support the use of CEN 値. Using equation (1 6) and substituting α = 0, therefore, V A L = MIN, and α = 1/2, therefore, VAL = CEN, thereby quantifying the transmission advantage of C E N. ^ Assuming that one of the Q codes 均匀 is uniformly distributed, E (Q: 2) can be calculated as follows: 2β-1 / 1, £ ^ 2) = Σ tq / Τ = Π, ^ (2β -1) (2δ + ι -1 ) (25) The ratio of the mean square error used for C ΕΝ 値 decoding to the mean square error used for Μ Ν 値 decoding is shown in Table 2 under various Q bits. Q: MSE reduction ratio (26) Wan (E ^ f for Xuanma) Table 2: The ratio of C Ε N 値 decoded Ε (MS Ε) to M IN 値 decoded Ε (MS Ε) vs. Q bit 値 Q code. (Please read first Note on the back, please fill out this page again.) The MSE reduction ratio printed by the Consumer Cooperatives of the Intellectual Property Bureau of the Ministry of Economy Q Non-edge matching ADRC Edge matching ADRC 1 0.200 0.500 2 0.238 0.357 3 0.247 0.300 4 0.249 0.274 4 0.250 0.262 6 0.250 0.256 7 0.250 0.253 This paper size is applicable to the Chinese National Standard (CNS) A4 specification (210 X 297 public love) -18- 477151 A7 ____B7____ V. Description of the invention (16) Therefore it can be quantified assuming the mean square error of DR restoration under some common ADRC codes Therefore, CEN 値 is the best corresponding part of the DR mean of the DR loss in ADRC transmission. This type of The code is regarded as the central 値 ADRC. In the central 値 ADRC, the central 値 (CEN) can be transmitted instead of M IN 値. In one embodiment, as described above, CEN 値 can be defined as CEN = MIN + DR Ding (27) in In this embodiment, the formula for reconstructing x can be obtained by substituting M IN CEN-DR / 2 into equations (3) and (6), that is, for non-edge matching ADRC: (28) And in the example of edge matching ADRC:
CfiV+M+DR 經濟部智慧財產局員工消費合作社印製 2β-1 -½ (29) 在無錯誤之例中,使用C E N之中央値A D R C之效 能和使用Μ I N値之A D R C相似。但是,在有D R損失 中,中央値A D R C可提供比Μ I N値A D R C更佳的損 失/損壞資料復原效能。 本發明並不限於上述之實施例,且於此仍可達成各種 改變和修飾,但其仍屬本發明之精神和範疇。因此,本發 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐) -19- 477151 A7 B7 五、發明說明(17 ) 明之精神和範疇應由下述申請專利範圍界定之 L——.------·;·裝 (請先閱讀背面之注意事項再填寫本頁) 訂---------. 經濟部智慧財產局員工消費合作社印製 -20- 本紙張尺度適用中國國家標準(CNS)A4規格(210 X 297公釐)CfiV + M + DR Printed by the Consumer Cooperatives of the Intellectual Property Bureau of the Ministry of Economic Affairs 2β-1 -½ (29) In the case of no errors, the performance of using the central 値 A D R C of C E N is similar to the use of A D R C of Μ I N 値. However, in the presence of DR loss, the central 値 A D R C can provide better loss / corrupted data recovery performance than the M IN 値 A D R C. The present invention is not limited to the above-mentioned embodiments, and various changes and modifications can be achieved here, but it still belongs to the spirit and scope of the present invention. Therefore, the paper size of this issue applies to the Chinese National Standard (CNS) A4 specification (210 X 297 mm) -19- 477151 A7 B7 V. Description of the invention (17) The spirit and scope of the invention shall be defined by the following L ——.------ ;; installed (please read the precautions on the back before filling out this page) Order ---------. Printed by the Consumer Cooperative of the Intellectual Property Bureau of the Ministry of Economic Affairs-20- This paper size applies to China National Standard (CNS) A4 (210 X 297 mm)
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Families Citing this family (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9081681B1 (en) | 2003-12-19 | 2015-07-14 | Nvidia Corporation | Method and system for implementing compressed normal maps |
US8078656B1 (en) | 2004-11-16 | 2011-12-13 | Nvidia Corporation | Data decompression with extra precision |
US7961195B1 (en) * | 2004-11-16 | 2011-06-14 | Nvidia Corporation | Two component texture map compression |
US7928988B1 (en) | 2004-11-19 | 2011-04-19 | Nvidia Corporation | Method and system for texture block swapping memory management |
US7916149B1 (en) | 2005-01-04 | 2011-03-29 | Nvidia Corporation | Block linear memory ordering of texture data |
JP4144598B2 (en) * | 2005-01-28 | 2008-09-03 | 三菱電機株式会社 | Image processing apparatus, image processing method, image encoding apparatus, image encoding method, and image display apparatus |
CA2610467C (en) * | 2005-06-03 | 2014-03-11 | The Commonwealth Of Australia | Matrix compression arrangements |
JP4508132B2 (en) * | 2006-02-27 | 2010-07-21 | ソニー株式会社 | Imaging device, imaging circuit, and imaging method |
US20080212773A1 (en) * | 2007-03-02 | 2008-09-04 | Houlberg Christian L | Parallel data stream decryption device |
JP5151919B2 (en) * | 2008-11-11 | 2013-02-27 | ソニー株式会社 | Image decoding apparatus, image decoding method, and computer program |
US8610732B2 (en) * | 2008-12-11 | 2013-12-17 | Nvidia Corporation | System and method for video memory usage for general system application |
US8504847B2 (en) * | 2009-04-20 | 2013-08-06 | Cleversafe, Inc. | Securing data in a dispersed storage network using shared secret slices |
EP2932193A4 (en) * | 2012-12-12 | 2016-07-27 | Merton G Hale | Coding system for satellite navigation system |
Family Cites Families (148)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3311879A (en) | 1963-04-18 | 1967-03-28 | Ibm | Error checking system for variable length data |
US3805232A (en) | 1972-01-24 | 1974-04-16 | Honeywell Inf Systems | Encoder/decoder for code words of variable length |
FR2387557A1 (en) | 1977-04-14 | 1978-11-10 | Telediffusion Fse | NOISE VISIBILITY REDUCTION SYSTEMS ON TELEVISION IMAGES |
GB2073534B (en) | 1980-04-02 | 1984-04-04 | Sony Corp | Error concealment in digital television signals |
GB2084432A (en) | 1980-09-18 | 1982-04-07 | Sony Corp | Error concealment in digital television signals |
US4509150A (en) | 1980-12-31 | 1985-04-02 | Mobil Oil Corporation | Linear prediction coding for compressing of seismic data |
GB2121642B (en) | 1982-05-26 | 1985-11-27 | Sony Corp | Error concealment in digital television signals |
US4532628A (en) | 1983-02-28 | 1985-07-30 | The Perkin-Elmer Corporation | System for periodically reading all memory locations to detect errors |
US4574393A (en) | 1983-04-14 | 1986-03-04 | Blackwell George F | Gray scale image processor |
GB2163619A (en) | 1984-08-21 | 1986-02-26 | Sony Corp | Error concealment in digital television signals |
JPH0746864B2 (en) | 1984-08-22 | 1995-05-17 | ソニー株式会社 | High efficiency encoder |
GB2164521B (en) | 1984-09-18 | 1988-02-03 | Sony Corp | Error concealment in digital television signals |
CA1251555A (en) | 1984-12-19 | 1989-03-21 | Tetsujiro Kondo | High efficiency technique for coding a digital video signal |
JPH0793724B2 (en) | 1984-12-21 | 1995-10-09 | ソニー株式会社 | High efficiency coding apparatus and coding method for television signal |
EP0232417B1 (en) | 1985-10-02 | 1991-11-06 | Deutsche Thomson-Brandt GmbH | Process for correcting transmission errors |
JP2512894B2 (en) | 1985-11-05 | 1996-07-03 | ソニー株式会社 | High efficiency coding / decoding device |
JP2670259B2 (en) | 1985-11-29 | 1997-10-29 | ソニー株式会社 | High efficiency coding device |
JPH0746862B2 (en) | 1985-11-30 | 1995-05-17 | ソニー株式会社 | Frame dropping compression encoding and decoding method |
JP2612557B2 (en) | 1985-12-18 | 1997-05-21 | ソニー株式会社 | Data transmission receiving system and data decoding device |
JPS62152225A (en) * | 1985-12-26 | 1987-07-07 | Canon Inc | Forecasting encoding device |
JPS62231569A (en) | 1986-03-31 | 1987-10-12 | Fuji Photo Film Co Ltd | Quantizing method for estimated error |
JP2751201B2 (en) | 1988-04-19 | 1998-05-18 | ソニー株式会社 | Data transmission device and reception device |
JP2508439B2 (en) | 1987-05-29 | 1996-06-19 | ソニー株式会社 | High efficiency encoder |
ATE74219T1 (en) | 1987-06-02 | 1992-04-15 | Siemens Ag | METHOD FOR DETERMINING MOTION VECTOR FIELDS FROM DIGITAL IMAGE SEQUENCES. |
US4885636A (en) | 1987-06-22 | 1989-12-05 | Eastman Kodak Company | Block adaptive linear predictive coding with adaptive gain and bias |
US5122873A (en) | 1987-10-05 | 1992-06-16 | Intel Corporation | Method and apparatus for selectively encoding and decoding a digital motion video signal at multiple resolution levels |
US5093872A (en) | 1987-11-09 | 1992-03-03 | Interand Corporation | Electronic image compression method and apparatus using interlocking digitate geometric sub-areas to improve the quality of reconstructed images |
JP2629238B2 (en) * | 1988-02-05 | 1997-07-09 | ソニー株式会社 | Decoding device and decoding method |
US5162923A (en) * | 1988-02-22 | 1992-11-10 | Canon Kabushiki Kaisha | Method and apparatus for encoding frequency components of image information |
US4903124A (en) * | 1988-03-17 | 1990-02-20 | Canon Kabushiki Kaisha | Image information signal transmission apparatus |
US4953023A (en) | 1988-09-29 | 1990-08-28 | Sony Corporation | Coding apparatus for encoding and compressing video data |
JP2900385B2 (en) | 1988-12-16 | 1999-06-02 | ソニー株式会社 | Framing circuit and method |
US5150210A (en) | 1988-12-26 | 1992-09-22 | Canon Kabushiki Kaisha | Image signal restoring apparatus |
JP3018366B2 (en) | 1989-02-08 | 2000-03-13 | ソニー株式会社 | Video signal processing circuit |
JPH02248161A (en) | 1989-03-20 | 1990-10-03 | Fujitsu Ltd | Data transmission system |
US5185746A (en) | 1989-04-14 | 1993-02-09 | Mitsubishi Denki Kabushiki Kaisha | Optical recording system with error correction and data recording distributed across multiple disk drives |
JPH02280462A (en) | 1989-04-20 | 1990-11-16 | Fuji Photo Film Co Ltd | Picture data compression method |
EP0394976B1 (en) * | 1989-04-27 | 1995-11-29 | Matsushita Electric Industrial Co., Ltd. | Data companding method and data compressor/expander |
EP0398741B1 (en) | 1989-05-19 | 1997-10-29 | Canon Kabushiki Kaisha | Image information transmitting system |
US5052021A (en) * | 1989-05-19 | 1991-09-24 | Kabushiki Kaisha Toshiba | Digital signal decoding circuit and decoding method |
US5208816A (en) | 1989-08-18 | 1993-05-04 | At&T Bell Laboratories | Generalized viterbi decoding algorithms |
JPH03141752A (en) | 1989-10-27 | 1991-06-17 | Hitachi Ltd | Picture signal transmitting method |
US5228059A (en) * | 1989-11-21 | 1993-07-13 | Nippon Hoso Kyokai | Differential code transmission system |
JP2533393B2 (en) | 1990-02-16 | 1996-09-11 | シャープ株式会社 | NTSC-HD converter |
US5166987A (en) | 1990-04-04 | 1992-11-24 | Sony Corporation | Encoding apparatus with two stages of data compression |
US5101446A (en) | 1990-05-31 | 1992-03-31 | Aware, Inc. | Method and apparatus for coding an image |
JPH0474063A (en) | 1990-07-13 | 1992-03-09 | Matsushita Electric Ind Co Ltd | Coding method for picture |
JP2650472B2 (en) | 1990-07-30 | 1997-09-03 | 松下電器産業株式会社 | Digital signal recording apparatus and digital signal recording method |
JP2969867B2 (en) | 1990-08-31 | 1999-11-02 | ソニー株式会社 | High-efficiency encoder for digital image signals. |
GB9019538D0 (en) | 1990-09-07 | 1990-10-24 | Philips Electronic Associated | Tracking a moving object |
US5416651A (en) | 1990-10-31 | 1995-05-16 | Sony Corporation | Apparatus for magnetically recording digital data |
US5243428A (en) | 1991-01-29 | 1993-09-07 | North American Philips Corporation | Method and apparatus for concealing errors in a digital television |
JP2861379B2 (en) * | 1990-11-22 | 1999-02-24 | ソニー株式会社 | Image data encoding method and circuit thereof |
JP2861380B2 (en) * | 1990-11-22 | 1999-02-24 | ソニー株式会社 | Image signal encoding apparatus and method, image signal decoding apparatus and method |
US5636316A (en) | 1990-12-05 | 1997-06-03 | Hitachi, Ltd. | Picture signal digital processing unit |
JP2906671B2 (en) * | 1990-12-28 | 1999-06-21 | ソニー株式会社 | Highly efficient digital video signal encoding apparatus and method |
EP0744869B1 (en) | 1990-12-28 | 2000-03-22 | Canon Kabushiki Kaisha | Image processing apparatus |
EP0806872B1 (en) | 1991-01-17 | 2000-04-12 | Mitsubishi Denki Kabushiki Kaisha | Video signal encoding apparatus using a block shuffling technique |
EP0495501B1 (en) | 1991-01-17 | 1998-07-08 | Sharp Kabushiki Kaisha | Image coding and decoding system using an orthogonal transform and bit allocation method suitable therefore |
US5455629A (en) | 1991-02-27 | 1995-10-03 | Rca Thomson Licensing Corporation | Apparatus for concealing errors in a digital video processing system |
JP3125451B2 (en) | 1991-11-05 | 2001-01-15 | ソニー株式会社 | Signal processing method |
JPH04358486A (en) | 1991-06-04 | 1992-12-11 | Toshiba Corp | High efficiency code signal processing unit |
JP2766919B2 (en) | 1991-06-07 | 1998-06-18 | 三菱電機株式会社 | Digital signal recording / reproducing device, digital signal recording device, digital signal reproducing device |
JPH04372779A (en) * | 1991-06-21 | 1992-12-25 | Sony Corp | Soft judging and decoding circuit |
US5263026A (en) | 1991-06-27 | 1993-11-16 | Hughes Aircraft Company | Maximum likelihood sequence estimation based equalization within a mobile digital cellular receiver |
JP3141896B2 (en) | 1991-08-09 | 2001-03-07 | ソニー株式会社 | Digital video signal recording device |
ATE148607T1 (en) | 1991-09-30 | 1997-02-15 | Philips Electronics Nv | MOTION VECTOR ESTIMATION, MOTION IMAGE CODING AND STORAGE |
JPH05103309A (en) | 1991-10-04 | 1993-04-23 | Canon Inc | Method and device for transmitting information |
US5398078A (en) | 1991-10-31 | 1995-03-14 | Kabushiki Kaisha Toshiba | Method of detecting a motion vector in an image coding apparatus |
JPH05145885A (en) * | 1991-11-22 | 1993-06-11 | Matsushita Electric Ind Co Ltd | Recording and reproducing device |
US5400076A (en) | 1991-11-30 | 1995-03-21 | Sony Corporation | Compressed motion picture signal expander with error concealment |
JP3278881B2 (en) | 1991-12-13 | 2002-04-30 | ソニー株式会社 | Image signal generator |
US5473479A (en) | 1992-01-17 | 1995-12-05 | Sharp Kabushiki Kaisha | Digital recording and/or reproduction apparatus of video signal rearranging components within a fixed length block |
JP3360844B2 (en) | 1992-02-04 | 2003-01-07 | ソニー株式会社 | Digital image signal transmission apparatus and framing method |
JPH05236427A (en) | 1992-02-25 | 1993-09-10 | Sony Corp | Device and method for encoding image signal |
US5247363A (en) | 1992-03-02 | 1993-09-21 | Rca Thomson Licensing Corporation | Error concealment apparatus for hdtv receivers |
US5307175A (en) | 1992-03-27 | 1994-04-26 | Xerox Corporation | Optical image defocus correction |
JP3259323B2 (en) | 1992-04-13 | 2002-02-25 | ソニー株式会社 | De-interleave circuit |
US5325203A (en) | 1992-04-16 | 1994-06-28 | Sony Corporation | Adaptively controlled noise reduction device for producing a continuous output |
JP3438233B2 (en) | 1992-05-22 | 2003-08-18 | ソニー株式会社 | Image conversion apparatus and method |
US5750867A (en) | 1992-06-12 | 1998-05-12 | Plant Genetic Systems, N.V. | Maintenance of male-sterile plants |
JP2976701B2 (en) | 1992-06-24 | 1999-11-10 | 日本電気株式会社 | Quantization bit number allocation method |
US5359694A (en) | 1992-07-27 | 1994-10-25 | Teknekron Communications Systems, Inc. | Method and apparatus for converting image data |
US5438369A (en) | 1992-08-17 | 1995-08-01 | Zenith Electronics Corporation | Digital data interleaving system with improved error correctability for vertically correlated interference |
US5481554A (en) | 1992-09-02 | 1996-01-02 | Sony Corporation | Data transmission apparatus for transmitting code data |
JPH06153180A (en) | 1992-09-16 | 1994-05-31 | Fujitsu Ltd | Picture data coding method and device |
JPH06121192A (en) | 1992-10-08 | 1994-04-28 | Sony Corp | Noise removing circuit |
DE69312953T2 (en) * | 1992-10-29 | 1998-03-05 | Hisamitsu Pharmaceutical Co | MIXTURES CONTAINING CYCLOHEXANOL DERIVATIVES AS A MEANS FOR TRANSMITTING A PLEASANT COOLING FEEL, METHOD FOR PRODUCING THESE DERIVATIVES AND INTERIM PRODUCTS REQUIRED |
EP0596826B1 (en) | 1992-11-06 | 1999-04-28 | GOLDSTAR CO. Ltd. | Shuffling method for a digital videotape recorder |
US5689302A (en) | 1992-12-10 | 1997-11-18 | British Broadcasting Corp. | Higher definition video signals from lower definition sources |
US5477276A (en) | 1992-12-17 | 1995-12-19 | Sony Corporation | Digital signal processing apparatus for achieving fade-in and fade-out effects on digital video signals |
JPH06205386A (en) | 1992-12-28 | 1994-07-22 | Canon Inc | Picture reproduction device |
US5805762A (en) | 1993-01-13 | 1998-09-08 | Hitachi America, Ltd. | Video recording device compatible transmitter |
US5416847A (en) | 1993-02-12 | 1995-05-16 | The Walt Disney Company | Multi-band, digital audio noise filter |
US5737022A (en) | 1993-02-26 | 1998-04-07 | Kabushiki Kaisha Toshiba | Motion picture error concealment using simplified motion compensation |
JP3259428B2 (en) | 1993-03-24 | 2002-02-25 | ソニー株式会社 | Apparatus and method for concealing digital image signal |
KR100261072B1 (en) | 1993-04-30 | 2000-07-01 | 윤종용 | Digital signal processing system |
KR940026915A (en) | 1993-05-24 | 1994-12-10 | 오오가 노리오 | Digital video signal recording device and playback device and recording method |
JP3360695B2 (en) * | 1993-06-17 | 2002-12-24 | ソニー株式会社 | Image data quantization circuit |
US5499057A (en) | 1993-08-27 | 1996-03-12 | Sony Corporation | Apparatus for producing a noise-reducded image signal from an input image signal |
US5406334A (en) | 1993-08-30 | 1995-04-11 | Sony Corporation | Apparatus and method for producing a zoomed image signal |
KR960012931B1 (en) | 1993-08-31 | 1996-09-25 | 대우전자 주식회사 | Channel error concealing method for classified vector quantized video |
US5602858A (en) * | 1993-09-20 | 1997-02-11 | Kabushiki Kaisha Toshiba | Digital signal decoding apparatus having a plurality of correlation tables and a method thereof |
JP3590996B2 (en) | 1993-09-30 | 2004-11-17 | ソニー株式会社 | Hierarchical encoding and decoding apparatus for digital image signal |
US5663764A (en) | 1993-09-30 | 1997-09-02 | Sony Corporation | Hierarchical encoding and decoding apparatus for a digital image signal |
JP3495766B2 (en) | 1993-10-01 | 2004-02-09 | テキサス インスツルメンツ インコーポレイテツド | Image processing method |
JP2862064B2 (en) | 1993-10-29 | 1999-02-24 | 三菱電機株式会社 | Data decoding device, data receiving device, and data receiving method |
KR100269213B1 (en) | 1993-10-30 | 2000-10-16 | 윤종용 | Method for coding audio signal |
US5617333A (en) | 1993-11-29 | 1997-04-01 | Kokusai Electric Co., Ltd. | Method and apparatus for transmission of image data |
JP3271108B2 (en) | 1993-12-03 | 2002-04-02 | ソニー株式会社 | Apparatus and method for processing digital image signal |
JPH07203428A (en) | 1993-12-28 | 1995-08-04 | Canon Inc | Image processing method and its device |
JP3321972B2 (en) | 1994-02-15 | 2002-09-09 | ソニー株式会社 | Digital signal recording device |
JP3161217B2 (en) | 1994-04-28 | 2001-04-25 | 松下電器産業株式会社 | Image encoding recording device and recording / reproducing device |
JP3336754B2 (en) | 1994-08-19 | 2002-10-21 | ソニー株式会社 | Digital video signal recording method and recording apparatus |
JP3845870B2 (en) | 1994-09-09 | 2006-11-15 | ソニー株式会社 | Integrated circuit for digital signal processing |
US5577053A (en) | 1994-09-14 | 1996-11-19 | Ericsson Inc. | Method and apparatus for decoder optimization |
JPH08140091A (en) | 1994-11-07 | 1996-05-31 | Kokusai Electric Co Ltd | Image transmission system |
US5571862A (en) * | 1994-11-28 | 1996-11-05 | Cytec Technology Corp. | Stabilized polyacrylamide emulsions and methods of making same |
US5594807A (en) | 1994-12-22 | 1997-01-14 | Siemens Medical Systems, Inc. | System and method for adaptive filtering of images based on similarity between histograms |
US5852470A (en) | 1995-05-31 | 1998-12-22 | Sony Corporation | Signal converting apparatus and signal converting method |
US5748593A (en) * | 1995-06-02 | 1998-05-05 | Nikon Corporation | Data reproduction apparatus |
US5552608A (en) * | 1995-06-26 | 1996-09-03 | Philips Electronics North America Corporation | Closed cycle gas cryogenically cooled radiation detector |
JP3015832B2 (en) * | 1995-06-27 | 2000-03-06 | 富士通株式会社 | Data playback device |
US5946044A (en) | 1995-06-30 | 1999-08-31 | Sony Corporation | Image signal converting method and image signal converting apparatus |
FR2736743B1 (en) | 1995-07-10 | 1997-09-12 | France Telecom | METHOD FOR CONTROLLING THE OUTPUT RATE OF AN ENCODER OF DIGITAL DATA REPRESENTATIVE OF IMAGE SEQUENCES |
JP3617879B2 (en) | 1995-09-12 | 2005-02-09 | 株式会社東芝 | Disk repair method and disk repair device for real-time stream server |
KR0155900B1 (en) | 1995-10-18 | 1998-11-16 | 김광호 | Phase error detecting method and phase tracking loop circuit |
US5724369A (en) | 1995-10-26 | 1998-03-03 | Motorola Inc. | Method and device for concealment and containment of errors in a macroblock-based video codec |
KR100197366B1 (en) | 1995-12-23 | 1999-06-15 | 전주범 | Apparatus for restoring error of image data |
KR100196872B1 (en) | 1995-12-23 | 1999-06-15 | 전주범 | Apparatus for restoring error of image data in image decoder |
US5751862A (en) | 1996-05-08 | 1998-05-12 | Xerox Corporation | Self-timed two-dimensional filter |
JP3748088B2 (en) * | 1996-07-17 | 2006-02-22 | ソニー株式会社 | Image processing apparatus and method, and learning apparatus and method |
JPH10240796A (en) * | 1996-08-09 | 1998-09-11 | Ricoh Co Ltd | Circuit simulation method and record medium for recording circuit simulation program and circuit simulation device |
JP3352887B2 (en) | 1996-09-09 | 2002-12-03 | 株式会社東芝 | Divider with clamp, information processing apparatus provided with this divider with clamp, and clamp method in division processing |
US6134269A (en) | 1996-09-25 | 2000-10-17 | At&T Corp | Fixed or adaptive deinterleaved transform coding for image coding and intra coding of video |
KR100196840B1 (en) | 1996-12-27 | 1999-06-15 | 전주범 | Apparatus for reconstucting bits error in the image decoder |
KR100239302B1 (en) | 1997-01-20 | 2000-01-15 | 전주범 | Countour coding method and apparatus using vertex coding |
US5938318A (en) * | 1997-08-19 | 1999-08-17 | Mattsen; Gregory Paul | Novelty shadow projection lamp |
JP4558193B2 (en) * | 1997-10-23 | 2010-10-06 | ソニー エレクトロニクス インク | Data receiving method and apparatus, received data recovery processing apparatus and recording medium |
JP4558195B2 (en) * | 1997-10-23 | 2010-10-06 | ソニー エレクトロニクス インク | Encoding method and apparatus, decoding method and apparatus, digital signal processing apparatus and recording medium |
US6311297B1 (en) * | 1997-10-23 | 2001-10-30 | Sony Corporation | Apparatus and method for mapping an image to blocks to provide for robust error recovery in a lossy transmission environment |
EP1040444B1 (en) * | 1997-10-23 | 2010-08-11 | Sony Electronics, Inc. | Apparatus and method for recovery of quantization codes in a lossy transmission environment |
WO1999021286A1 (en) * | 1997-10-23 | 1999-04-29 | Sony Electronics, Inc. | Apparatus and method for localizing transmission errors to provide robust error recovery in a lossy transmission environment |
CA2308223C (en) * | 1997-10-23 | 2007-07-24 | Sony Electronics Inc. | Apparatus and method for mapping and image to blocks to provide for robust error recovery in a lossy transmission environment |
JP4558191B2 (en) * | 1997-10-23 | 2010-10-06 | ソニー エレクトロニクス インク | Damaged data recovery method and apparatus, digital arithmetic processing apparatus and recording medium |
EP1027651B1 (en) * | 1997-10-23 | 2013-08-07 | Sony Electronics, Inc. | Apparatus and method for providing robust error recovery for errors that occur in a lossy transmission environment |
US6137915A (en) | 1998-08-20 | 2000-10-24 | Sarnoff Corporation | Apparatus and method for error concealment for hierarchical subband coding and decoding |
US6363118B1 (en) * | 1999-02-12 | 2002-03-26 | Sony Corporation | Apparatus and method for the recovery of compression constants in the encoded domain |
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US20030133618A1 (en) | 2003-07-17 |
JP2003503914A (en) | 2003-01-28 |
US6549672B1 (en) | 2003-04-15 |
US7224838B2 (en) | 2007-05-29 |
DE10084763B3 (en) | 2013-03-28 |
AU5875800A (en) | 2001-01-31 |
WO2001001694A1 (en) | 2001-01-04 |
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